Data stays home
Our products assume from the first line of code that your information never needs to leave your hardware.
Company
Local-first, by design.
JMNI Labs is an independent company building private AI products around a single conviction: capable AI belongs on hardware its users control.
The models caught up. The hardware caught up. What's missing is software that lets people use private AI where it matters most — in the clinic, the law office, and the classroom.
Principles
How we work.
Measured, not claimed
We run everything on our own lab first. If we haven't measured it, we don't say it.
Grounded answers
AI that cites its sources and admits its limits is worth more than AI that sounds confident.
Publish the work
Findings, checkpoints, and field notes go out in public — including what didn't work.
Team
Small team, serious lab.
J
John Gutierrez
Founder
An engineer with years of experience building private inference systems, John founded JMNI Labs to turn that work into applications people can use, and leads research and product.
JMNI Labs is built with a close circle of developers and collaborators from the open-model community. We're incorporated in Hawaiʻi and work remote-first.
Roadmap
Where we're headed.
Now
Design partners
- Ward with early medical and legal practices
- Recitation private preview
- Ongoing research on local serving
Next
First installations
- Ward pilot installs in practices
- Recitation v0.1 public release
- Multi-user sign-in; Windows support
Later
Scale
- JMNI Private Inference for added capacity
- Institutional Recitation deployments
- More verticals on the same foundation
Let's talk.
Practices, schools, learners, researchers — we'd like to hear what you're working on.